Survey on Parallel Patient Treatment Time Management System


Radha R
Department of CSE Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka
Ravi Kumar V
Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysore Karnataka, India.


Successful patient queue administration to limit quiet hold up deferrals and patient congestion is one of the significant difficulties looked by healing centers. Pointless and irritating sits tight for elongated stretches give rise to generous person asset and too much time consumption and increment dissatisfaction persisted by sick persons. Every patient in the line, the aggregate healing time of the considerable number of patients before him is the time that he should wait. It is helpful and best if the patients could get the most well-organized treatment and know the anticipated holding up time in the course of a versatile application that updates progressively. Hence, we recommend a Patient Treatment Time Prediction (PTTP) calculation to foresee the sitting tight period for every treatment undertaking for a patient. We utilize reasonable patient information from different healing facilities to acquire a patient treatment time display for each task. In light of this expansive scale, reasonable dataset, the treatment time for every patient in the present line of each task is estimated.

June 12, 2018
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